Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to caldwelldavid.com

David Caldwell | Software Engineer & Technical Ops · ranked by shared content topics & relevance
76match
palfery.com
David Palfery - Software Engineer & Technology Leader
1 shared topicstechnology-and-computing
75match
juanceresa.com
Juan Ceresa | Software Engineer & Technology Consultant
1 shared topicstechnology-and-computing
74match
owain.dev
Owain Davies | Software Engineer
1 shared topicstechnology-and-computing
74match
jsarabiv.dev
Juan Sarabia – Senior Software Engineer & Tech Lead
1 shared topicstechnology-and-computing
74match
hkasera.com
Harshita Kasera | Software Engineer
1 shared topicstechnology-and-computing
74match
pabloibanez.com
Pablo Ibanez | Software Engineer & Tech Lead
1 shared topicstechnology-and-computing
74match
jurhasha.com
Alexander Zhuravlev | Software Engineer & Tech-Founder
1 shared topicstechnology-and-computing
74match
muhammadkumail.com
Muhammad Kumail | Software Engineer
1 shared topicstechnology-and-computing
74match
alexbvolcy.dev
Alex B. Volcy | Software Engineer
1 shared topicstechnology-and-computing
74match
adamryu.com
Adam Ryu | Software Engineer
1 shared topicstechnology-and-computing
73match
sirzaxx.com
Muhammad Faraz | Full-Stack Engineer & Technical Lead
1 shared topicstechnology-and-computing
73match
jugalchanda.com
Jugal Kishore Chanda | Software Engineer
1 shared topicstechnology-and-computing
73match
the-tech-noob.com
The Tech Noob | Software Engineering Blog
1 shared topicstechnology-and-computing
73match
bumgu.com
Bumgu Kang | Software Engineer
1 shared topicstechnology-and-computing
73match
simonemms.com
Simon Emms | Software Engineer, Technical Leader, Solutions Designer
1 shared topicstechnology-and-computing
73match
hmonpa.com
Héctor Montesinos | Software Engineer
1 shared topicstechnology-and-computing
73match
aguerrevere.dev
Aaron | Software Engineer
1 shared topicstechnology-and-computing
73match
eggisatria.dev
Eggi Satria | Data Engineer & Software Builder
1 shared topicstechnology-and-computing

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.